14 citations · 14 across the 1 of their papers we have counts for
3 papers
Fuzzy Overclustering: Semi-Supervised Classification of Fuzzy Labels with Overclustering and Inverse Cross-Entropy
Lars Schmarje, Johannes Brünger, Monty Santarossa +3
Deep learning has been successfully applied to many classification problems including underwater challenges. However, a long-standing issue with deep learning is the need for large…
Beyond Cats and Dogs: Semi-supervised Classification of fuzzy labels with overclustering
Lars Schmarje, Johannes Brünger, Monty Santarossa +3
A long-standing issue with deep learning is the need for large and consistently labeled datasets. Although the current research in semi-supervised learning can decrease the require…
MorphoCluster: Efficient Annotation of Plankton images by Clustering
Simon-Martin Schröder, Rainer Kiko, Reinhard Koch
In this work, we present MorphoCluster, a software tool for data-driven, fast and accurate annotation of large image data sets. While already having surpassed the annotation rate o…